- Published
- 2023-01-23
- Venue
- Nature Machine Intelligence, vol. 5, no. 1, pp. 46-57
- Cited by
- 497
- Open access
- Yes, green
- DOI
- 10.1038/s42256-022-00593-2
Cite this paper
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- APA 7
Sharma, A. K., Lin, I. W., Miner, A. S., Atkins, D. C., & Althoff, T. (2023). Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support. Nature Machine Intelligence, 5(1), 46–57. https://doi.org/10.1038/s42256-022-00593-2
- MLA 9
Sharma, Ashish Kumar, et al. "Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support." Nature Machine Intelligence, vol. 5, no. 1, 2023, pp. 46–57, https://doi.org/10.1038/s42256-022-00593-2.
- Chicago
Sharma, Ashish Kumar, Inna Wanyin Lin, Adam S. Miner, David C. Atkins, and Tim Althoff. "Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support." Nature Machine Intelligence 5, no. 1 (2023): 46–57. https://doi.org/10.1038/s42256-022-00593-2.
- GOST
Sharma A. K., Lin I. W., Miner A. S. [и др.] Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support // Nature Machine Intelligence. — 2023. — Vol. 5, № 1. — P. 46–57. — URL: https://doi.org/10.1038/s42256-022-00593-2
- BibTeX
@article{sharma2023humanai, title = {{Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support}}, author = {Ashish Kumar Sharma and Inna Wanyin Lin and Adam S. Miner and David C. Atkins and Tim Althoff}, journal = {Nature Machine Intelligence}, year = {2023}, volume = {5}, number = {1}, pages = {46--57}, doi = {10.1038/s42256-022-00593-2}, url = {https://doi.org/10.1038/s42256-022-00593-2} }- RIS
TY - JOUR AU - Sharma, Ashish Kumar AU - Lin, Inna Wanyin AU - Miner, Adam S. AU - Atkins, David C. AU - Althoff, Tim TI - Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support JO - Nature Machine Intelligence VL - 5 IS - 1 SP - 46 EP - 57 PY - 2023 DA - 2023/01/23 DO - 10.1038/s42256-022-00593-2 UR - https://doi.org/10.1038/s42256-022-00593-2 ER -